5. Plotting Charts with Matplotlib - IPython Notebook Tutorial

This is open source, Github/NBViwer:

[lujingsu]

I have watched the series about ipython and I have to say I really like it (especially without the music). :-) Thank you very much for making the tutorial!!!

[shayryan]

Really great introduction to matplotlib in Jupyter notebook - Thanks!

[DiegoEfe]

I was getting the plots in a separate window from the web browser. To make them appear as an output cell, you have to add this magic line: %matplotlib inline. Great video! (edited: I see that you already mentioned it in the linked notebook)

[anon]

Roshan, thanks for your helpful videos. I hadn't seen where people advocate using subplot even where one only has a single plot.

Saw the comment about getting your plots to be inline. I was confused and found this issue addressed on stackoverflow. They advocate your first cell to be:

%matplotlib inline

import matplotlib
import numpy as np
import matplotlib.pyplot as plt

Again, thanks again! I have liked and subscribed.

[Mannuyadav_Navigator]

Helpful video .... I appreciate your work

[Shaunr]

This series is very helpful--especially since the documentation is not too clear

[Tcsaroshan]

The link is in the description box. You have to click "Show more" to view it. This is the link anyway:

[sachinmajnar]

noise=np.random.random((120, 120))
what is trhe np sir why is it not run

[charancharan]

Hi

Send me the link for reference about matplotlib